Why should a retailer trust that AI search actually moves the needle, rather than just sounding impressive? Because the gains can be measured. home24, the German online furniture retailer, didn’t just deploy AI semantic search — it ran rigorous A/B tests and proved the lift before rolling it out.
The result: home24 validated a 21% conversion rate improvement through rigorous three-week A/B tests after implementing AI semantic search across its platform.
Why furniture search is hard#
Furniture is a difficult category to search. Shoppers describe what they want in human terms — “a small grey sofa for a flat,” “mid-century dining chairs” — that rarely match the exact product titles in the catalog. A keyword search that demands literal matches fails constantly here: it returns nothing for a natural description, or buries the right product under irrelevant results. And because furniture is a considered, higher-ticket purchase, a frustrating search doesn’t just lose a click — it loses a substantial order.
home24 replaced literal keyword matching with AI semantic search that understands meaning, so a shopper’s natural description reliably lands on the right products.
How semantic search works#
Semantic search interprets intent rather than matching strings. It understands that “grey two-seater” and “charcoal loveseat” point at the same thing, tolerates typos and natural phrasing, and ranks results by relevance and likelihood to convert rather than by keyword density.
Three capabilities drive home24’s result. Semantic understanding maps the shopper’s words to the right products even when the vocabulary doesn’t match the catalog. Intelligent ranking orders results by relevance and purchase likelihood, so the best option leads. And continuous learning improves the system as it observes which results shoppers actually click and buy.
Why the A/B test matters most#
The most important part of home24’s story isn’t the 21% — it’s that they proved it. A controlled three-week A/B test, comparing AI semantic search against the old search on live traffic, removes the guesswork. The conversion lift wasn’t a vendor’s promise or a vanity stat; it was a measured difference between two groups of real shoppers.
That rigor matters because it makes the investment decision easy. A 21% conversion lift on high-intent search traffic, validated by controlled testing, is among the clearest ROI cases in ecommerce. Search users have already declared intent; converting more of them is pure upside, and home24 demonstrated exactly how much.
What this means for your store#
You don’t need a furniture catalog to benefit — any store with a search box and natural-language queries can apply this:
- Replace keyword matching with semantic search so human descriptions still convert.
- Rank results by relevance and purchase likelihood, not just literal matches.
- A/B test the change so you can prove the lift and justify the investment with data.
Especially for considered, higher-ticket purchases, the search box is where the biggest orders are won or lost.
Bring AI search to your store with CartAmplify#
CartAmplify gives any store — Shopify, dropshipping, or marketplace — the AI semantic search that delivered home24 a measured 21% conversion lift. Search that understands what shoppers mean and ranks results by what they’ll actually buy.
Related reading#
- How home24 Proved a 21% Lift from AI Discovery
- How The North Face Hit a 60% CTR with AI Search
- How Zalando Cut Content Costs 90% with Generative AI
Figures cited from publicly reported home24 AI search case studies. Results vary by catalog, traffic, and implementation.
